{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tutorial of UQPINNs on a simple nonlinear stochastic ordinary equation:\n",
    "We consider the problem:\n",
    "\\begin{align}\n",
    "&u_{xx} - u^2u_x = f(x), \\quad\\quad x\\in[-1, 1], \\\\\n",
    "&f(x) = -\\pi^2\\sin(\\pi x) - \\pi\\cos(\\pi x)\\sin^2(\\pi x),\\\\\n",
    "\\end{align}\n",
    "with the boundary condition chosen as $u(-1), u(1)\\sim \\mathcal{N}(0, \\sigma_n^2)$ with $\\sigma_n = 0.05$.\n",
    "\n",
    "More examples can be found in paper:  \n",
    "\n",
    "####  Yang, Yibo, and Paris Perdikaris. \"Adversarial uncertainty quantification in physics-informed neural networks.\" Journal of Computational Physics 394 (2019): 136-152.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Physics-informed neural network (PINNs):\n",
    "Consider the problem: \n",
    "\\begin{align}\n",
    "u_t + \\mathcal{N}_{x}u = 0,\n",
    "\\end{align}\n",
    "where $u(x,t)$ is represented by a deep neural network parametrized by a set of parameters $\\theta$, i.e. $u(x,t) = f_{\\theta}(x,t)$, $x$ is a vector of space coordinates, $t$ is the time coordinate, and $\\mathcal{N}_{x}$ is a nonlinear differential operator. As neural networks are differentiable representations, this construction defines a so-called {\\em physics informed neural network} that corresponds to the PDE residual, i.e. $r_{\\theta}(x,t):= \\frac{\\partial}{\\partial t} f_{\\theta}(x,t)  + \\mathcal{N}_{x}f_{\\theta}(x,t)$. This new network has the same parameters as the network representing $u(x,t)$, albeit different activation functions due to the action of the differential operator."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The resulting training procedure allows us to recover the shared network parameters $\\theta$ using a few scattered observations of $u(x,t)$, namely $\\{(x_{i}, t_i), u_i\\}$, $i = 1,\\dots,N_u$, along with a larger number of collocation points $\\{(x_{i}, t_i), r_i\\}$, $i = 1,\\dots,N_r$, that aim to penalize the PDE residual at a finite set of $N_r$ collocation nodes. \n",
    "\\com{The data for the residual are typically zero (i.e. $r_i=0$), or they may correspond to external forcing terms evaluated at the corresponding location $(x_{i}, t_i)$, $i=1,\\dots,N_r$."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The loss function follows:\n",
    "\\begin{align}\n",
    "\\mathcal{L}(\\theta) = \\frac{1}{N_u}\\sum\\limits_{i=1}^{N_u}\\|f_{\\theta}(x_{i}, t_i) - u_i\\|^2  +   \\frac{1}{N_r}\\sum\\limits_{i=1}^{N_r}\\|r_{\\theta}(x_{i}, t_i) - r_i\\|^2, \n",
    "\\end{align}\n",
    "where the required gradients $\\frac{\\partial \\mathcal{L}}{\\partial \\theta}$ can be readily obtained using automatic differentiation.\n",
    "\n",
    "#### Raissi, M., P. Perdikaris, and G. E. Karniadakis. \"Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.\" Journal of Computational Physics 378 (2019): 686-707."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Probabilistic PINNs:\n",
    "\n",
    "While PINNs cannot handle uncertainty quantification tasks. Here we put forth a probabilistic formulation for propagating uncertainty through physics-informed neural networks using latent variable models of the form:\n",
    "\\begin{align}\n",
    "p(u|x,t,z), \\ \\ z\\sim p(z), \\ \\ \\text{s.t} \\ \\  u_t + \\mathcal{N}_{x}u = 0\n",
    "\\end{align}\n",
    "This setting encapsulates a wide range of deterministic and stochastic problems, where $u(x,t)$ is a potentially multi-variate random field depending on spatial and temporal variables $x$ and $t$, respectively, and $z$ is a collection of random latent variables with a prior distribution $p(z)$. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<button onclick=\"$('.input, .prompt, .output_stderr, .output_error').toggle();\">Save 5% with coupon</button>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display_html\n",
    "display_html(\"\"\"<button onclick=\"$('.input, .prompt, .output_stderr, .output_error').toggle();\">Save 5% with coupon</button>\"\"\", raw=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# GANs:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 9,
     "metadata": {
      "image/png": {
       "height": 500,
       "width": 800
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(filename='GANs.png', width=800,height=500) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Density ratio estimate trick:\n",
    "GANs rely on accurate estimation of KL-divergence: \n",
    "\\begin{align}\n",
    "\\mathbb{KL}[p(x)||q(x)] = \\int p(x)\\log(\\frac{p(x)}{q(x)})dx\n",
    "\\end{align}\n",
    "\n",
    "However, estimating density ratios is a challenging task. \n",
    "\n",
    "$\\bullet$ Each part of the ratio may itself involve intractable integrals.\n",
    "\n",
    "$\\bullet$ We often deal with high-dimensional quantities.\n",
    "\n",
    "$\\bullet$ We may only have samples drawn from the two distributions, not their analytical forms.\n",
    "\n",
    "This is where the density ratio trick enters: it allows us to construct a binary classifier that distinguishes between samples from the two distributions.\n",
    " \n",
    "\\begin{align}\n",
    "    \\frac{p(x)}{ q(x)} & = \\frac{\\rho(x|c=+1)}{\\rho(x|c=-1)} \\\\\n",
    "    & = \\frac{\\rho(c=+1|x)\\rho(x)}{\\rho(c=+1)} \\bigg/ \\frac{\\rho(c=-1|x)\\rho(x)}{\\rho(c=-1)} \\\\\n",
    "    & = \\frac{\\rho(c=+1|x)}{\\rho(c=-1|x)} = \\frac{\\rho(c=+1|x)}{1 - \\rho(c=+1|x)} \\\\\n",
    "    & = \\frac{T(x)}{1-T(x)}.\n",
    "\\end{align}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### But still GANs suffers from the mode collapse issue. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 13,
     "metadata": {
      "image/png": {
       "height": 400,
       "width": 600
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(filename='Mode_Collapse.png', width=600,height=400) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In order to tackle this issue, one can consider using entropic regularization: $-\\lambda\\mathbb{H}(p_{\\theta}(x)) - \\mathbb{E}_{p_{\\theta}(x)}\\log q(x)$ instead of $\\mathbb{KL}[p_{\\theta}(x)||q(x)]$ with $\\lambda > 1$. \n",
    "\n",
    "#### Li, Chunyuan, Jianqiao Li, Guoyin Wang, and Lawrence Carin. \"Learning to Sample with Adversarially Learned Likelihood-Ratio.\" (2018)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### In terms of the conditional distribution, it is following similar manner."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 12,
     "metadata": {
      "image/png": {
       "height": 400,
       "width": 600
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(filename='Entropic.png', width=600,height=400) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# UQPINNs\n",
    "\n",
    "Satisfying the PDE constraint by simply minimizing the mean square loss on collocation points.\n",
    "\\begin{align}\n",
    "    \\mathcal{L}_{PDE}(\\theta) = \\frac{1}{N_r}\\sum_{i=1}^{N_r}\\|r_{\\theta}(x_i, t_i)\\|^2.\n",
    "\\end{align}\n",
    "with\n",
    "\\begin{align}\n",
    "\t\\mathcal{L}_{\\mathcal{D}}(\\psi) = & \\  \\mathbb{E}_{q(x,t)p(z)}[\\log\\sigma(T_{\\psi}(x,t,f_{\\theta}(x,t,z)))] + \\\\ & \\ \\mathbb{E}_{q(x,t,u)}[\\log(1-\\sigma(T_{\\psi}(x,t,u)))],\\\\\n",
    "\t\\mathcal{L}_{\\mathcal{G}}(\\theta, \\phi) = & \\ \\mathbb{E}_{q(x,t)p(z)}[T_{\\psi}(x, t, f_{\\theta}(x,t,z))\\\\\n",
    "\t&+ (1-\\lambda)\\log(q_{\\phi}(z|x,t,f_{\\theta}(x,t,z)))],\n",
    "\\end{align}\n",
    "Then, the resulting adversarial game for training the physics-informed model:\n",
    "\\begin{align}\n",
    "    & \\mathop{\\max}_{\\psi} \\ \\mathcal{L}_{\\mathcal{D}}(\\psi)\\\\\n",
    "    & \\mathop{\\min}_{\\theta, \\phi} \\ \\mathcal{L}_{\\mathcal{G}}(\\theta, \\phi) + \\mathcal{L}_{PDE}(\\theta),\n",
    "\\end{align}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example:\n",
    "We illustrate the basic capabilities of the proposed methods through a simple ordinary equation: \n",
    "\\begin{align}\n",
    "\t&u_{xx} - u^2u_x = f(x), \\quad\\quad x\\in[-1, 1], \\\\\n",
    "\t&f(x) = -\\pi^2\\sin(\\pi x) - \\pi\\cos(\\pi x)\\sin^2(\\pi x),\\\\\n",
    "\\end{align}\n",
    "with the choice of $f(x)$, the solution of this problem is: $u(x) = sin(\\pi x)$. We perturb the boundary condition by Gaussian noise $u(-1), u(1)\\sim \\mathcal{N}(0, \\sigma_n^2)$ with $\\sigma_n = 0.05$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<button onclick=\"$('.input, .prompt, .output_stderr, .output_error').toggle();\">Save 10% with coupon</button>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display_html\n",
    "display_html(\"\"\"<button onclick=\"$('.input, .prompt, .output_stderr, .output_error').toggle();\">Save 10% with coupon</button>\"\"\", raw=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define the model class\n",
    "\n",
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import timeit\n",
    "\n",
    "# Model class takes the intput:\n",
    "# X_f: collocation points in [-1, 1], X_u: positions on the boundary (in this case -1 and 1), \n",
    "# Y_u: data on the boundary (in this case, boundary conditions), layers_P: network structure of generator,\n",
    "# layers_Q: network structure of encoder, layers_T: network structure of discriminator,\n",
    "# lam: entropic regularization coefficient, beta: physics-informed regularization\n",
    "\n",
    "class ODE_UQPINN:\n",
    "    # Initialize the class\n",
    "    def __init__(self, X_f, X_u, Y_u, layers_P, layers_Q, layers_T, lam = 1.0, beta = 1.0): \n",
    "        # X_f: collocation points, X_u: input data X, Y_u: output data Y,\n",
    "        # layers_P: decoder network structure, layers_Q: encoder network structure, layers_T: discriminator network structure,\n",
    "        # lam: entropic regularization parameter, beta: physics-informed regularization parameter\n",
    "                \n",
    "        # Normalize data\n",
    "        self.Xmean, self.Xstd = X_f.mean(0), X_f.std(0)\n",
    "        self.Ymean, self.Ystd = Y_u.mean(0), Y_u.std(0)\n",
    "        X_f = (X_f - self.Xmean) / self.Xstd\n",
    "        X_u = (X_u - self.Xmean) / self.Xstd\n",
    "        # Jacobian with respect to the normalization\n",
    "        self.Jacobian = 1 / self.Xstd\n",
    "        \n",
    "        # Normalized and collocation points and training input, output data\n",
    "        self.X_f = X_f\n",
    "        self.X_u = X_u\n",
    "        self.Y_u = Y_u\n",
    "        \n",
    "        # Neural network structures\n",
    "        self.layers_P = layers_P\n",
    "        self.layers_Q = layers_Q\n",
    "        self.layers_T = layers_T\n",
    "        \n",
    "        # Input, output and latent variable dimensions\n",
    "        self.X_dim = X_u.shape[1]\n",
    "        self.Y_dim = Y_u.shape[1]\n",
    "        self.Z_dim = layers_Q[-1]\n",
    "        \n",
    "        # Regularization parameters\n",
    "        self.lam = lam\n",
    "        self.beta = beta\n",
    "        \n",
    "        # Ratio of training for generator and discriminator in each iteration: k1 for discriminator, k2 for generator\n",
    "        self.k1 = 1\n",
    "        self.k2 = 5\n",
    "\n",
    "        # Initialize network weights and biases        \n",
    "        self.weights_P, self.biases_P = self.initialize_NN(layers_P)\n",
    "        self.weights_Q, self.biases_Q = self.initialize_NN(layers_Q)\n",
    "        self.weights_T, self.biases_T = self.initialize_NN(layers_T)\n",
    "        \n",
    "        # Define Tensorflow session\n",
    "        self.sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))\n",
    "        \n",
    "        # Define placeholders and computational graph\n",
    "        self.X_u_tf = tf.placeholder(tf.float32, shape=(None, self.X_dim))\n",
    "        self.X_f_tf = tf.placeholder(tf.float32, shape=(None, self.X_dim))\n",
    "        self.Y_u_tf = tf.placeholder(tf.float32, shape=(None, self.Y_dim))\n",
    "        self.Z_u_tf = tf.placeholder(tf.float32, shape=(None, self.Z_dim))\n",
    "        self.Z_f_tf = tf.placeholder(tf.float32, shape=(None, self.Z_dim))\n",
    "\n",
    "        # Predict output\n",
    "        self.Y_u_pred = self.net_P(self.X_u_tf, self.Z_u_tf)\n",
    "        # Predict the residual at collocation points\n",
    "        self.Y_f_pred = self.get_r(self.X_f_tf, self.Z_f_tf)\n",
    "\n",
    "        # Generator loss (to be minimized)\n",
    "        self.G_loss, self.KL_loss, self.recon_loss, self.PDE_loss  = self.compute_generator_loss(self.X_u_tf, self.Y_u_tf, self.Y_u_pred,\n",
    "                                                                        self.X_f_tf, self.Y_f_pred, self.Z_u_tf, self.Z_f_tf)\n",
    "                                                \n",
    "        # Discriminator loss (to be minimized)\n",
    "        self.T_loss  = self.compute_discriminator_loss(self.X_u_tf, self.Y_u_tf, self.Z_u_tf)\n",
    "        \n",
    "        # Generate samples of y given x by sampling from latent space\n",
    "        self.sample = self.sample_generator(self.X_u_tf, self.Z_u_tf)\n",
    "\n",
    "        # Define optimizer        \n",
    "        self.optimizer_KL = tf.train.AdamOptimizer(1e-4)\n",
    "        self.optimizer_T = tf.train.AdamOptimizer(1e-4)\n",
    "        \n",
    "        # Define train Ops\n",
    "        self.train_op_KL = self.optimizer_KL.minimize(self.G_loss, \n",
    "                                                      var_list = [self.weights_P, self.biases_P,\n",
    "                                                                  self.weights_Q, self.biases_Q])\n",
    "                                                                    \n",
    "        self.train_op_T = self.optimizer_T.minimize(self.T_loss,\n",
    "                                                    var_list = [self.weights_T, self.biases_T])\n",
    "\n",
    "        # Initialize Tensorflow variables\n",
    "        init = tf.global_variables_initializer()\n",
    "        self.sess.run(init)\n",
    "\n",
    "    \n",
    "    # Initialize network weights and biases using Xavier initialization\n",
    "    def initialize_NN(self, layers):      \n",
    "        # Xavier initialization\n",
    "        def xavier_init(size):\n",
    "            in_dim = size[0]\n",
    "            out_dim = size[1]\n",
    "            xavier_stddev = 1. / np.sqrt((in_dim + out_dim) / 2.)\n",
    "            return tf.Variable(tf.random_normal([in_dim, out_dim], dtype=tf.float32) * xavier_stddev, dtype=tf.float32)   \n",
    "        \n",
    "        weights = []\n",
    "        biases = []\n",
    "        num_layers = len(layers) \n",
    "        for l in range(0,num_layers-1):\n",
    "            W = xavier_init(size=[layers[l], layers[l+1]])\n",
    "            b = tf.Variable(tf.zeros([1,layers[l+1]], dtype=tf.float32), dtype=tf.float32)\n",
    "            weights.append(W)\n",
    "            biases.append(b)        \n",
    "        return weights, biases\n",
    "           \n",
    "           \n",
    "    # Evaluates the forward pass\n",
    "    def forward_pass(self, H, layers, weights, biases):\n",
    "        num_layers = len(layers)\n",
    "        for l in range(0,num_layers-2):\n",
    "            W = weights[l]\n",
    "            b = biases[l]\n",
    "            H = tf.tanh(tf.add(tf.matmul(H, W), b))\n",
    "        W = weights[-1]\n",
    "        b = biases[-1]\n",
    "        H = tf.add(tf.matmul(H, W), b)\n",
    "        return H\n",
    "    \n",
    "    # Forcing term (right hand of the ODE)\n",
    "    def f(self, X_normalized): #\n",
    "        X = self.Xstd * X_normalized + self.Xmean\n",
    "        return - np.pi ** 2 * tf.sin(np.pi*X) - np.pi * tf.cos(np.pi * X) * tf.sin(np.pi * X) ** 2\n",
    "    \n",
    "    # Decoder: p(y|x,z)\n",
    "    def net_P(self, X, Z):\n",
    "        Y = self.forward_pass(tf.concat([X, Z], 1),\n",
    "                              self.layers_P,\n",
    "                              self.weights_P,\n",
    "                              self.biases_P)\n",
    "        return Y\n",
    "    \n",
    "    # Encoder: q(z|x,y)\n",
    "    def net_Q(self, X, Y):\n",
    "        Z = self.forward_pass(tf.concat([X, Y], 1),\n",
    "                              self.layers_Q,\n",
    "                              self.weights_Q,\n",
    "                              self.biases_Q)\n",
    "        return Z\n",
    "    \n",
    "    # Discriminator\n",
    "    def net_T(self, X, Y):\n",
    "        T = self.forward_pass(tf.concat([X, Y], 1),\n",
    "                              self.layers_T,\n",
    "                              self.weights_T,\n",
    "                              self.biases_T)        \n",
    "        return T\n",
    "    \n",
    "    # Physics-Informed neural network prediction\n",
    "    def get_u(self, X, Z):\n",
    "        z_prior = Z       \n",
    "        u = self.net_P(X, z_prior)\n",
    "        return u\n",
    "\n",
    "    # Physics-Informed residual on the collocation points\n",
    "    def get_r(self, X, Z):\n",
    "        z_prior = Z    \n",
    "        u = self.net_P(X, z_prior)\n",
    "        u_x = tf.gradients(u, X)[0]\n",
    "        u_xx = tf.gradients(u_x, X)[0]\n",
    "        f = self.f(X)\n",
    "        r = (self.Jacobian ** 2) * u_xx - (self.Jacobian) * (u ** 2) *u_x - f\n",
    "        return r    \n",
    "    \n",
    "    # Compute the generator loss\n",
    "    def compute_generator_loss(self, X_u, Y_u, Y_u_pred, X_f, Y_f_pred, Z_u, Z_f):  \n",
    "        # Prior: z_u for input data, z_f for collocation points\n",
    "        z_u_prior = Z_u\n",
    "        z_f_prior = Z_f\n",
    "        # Encoder: q(z|x,y)\n",
    "        z_u_encoder = self.net_Q(X_u, Y_u_pred)\n",
    "        z_f_encoder = self.net_Q(X_f, Y_f_pred)\n",
    "        # Discriminator loss\n",
    "        Y_pred = self.net_P(X_u, Z_u)\n",
    "        T_pred = self.net_T(X_u, Y_pred)\n",
    "        \n",
    "        # KL-divergence between the data distribution and the model distribution\n",
    "        KL = tf.reduce_mean(T_pred)\n",
    "\n",
    "        # Entropic regularization\n",
    "        log_q = - tf.reduce_mean(tf.square(z_u_prior-z_u_encoder))\n",
    "        \n",
    "        # Physics-informed loss\n",
    "        loss_f = tf.reduce_mean(tf.square(Y_f_pred))\n",
    "\n",
    "        # Generator loss\n",
    "        loss = KL + (1.0-self.lam)*log_q + self.beta * loss_f\n",
    "        \n",
    "        return loss, KL, (1.0-self.lam)*log_q, self.beta * loss_f\n",
    "    \n",
    "    # Compute the discriminator loss\n",
    "    def compute_discriminator_loss(self, X, Y, Z): \n",
    "        # Prior: p(z)\n",
    "        z_prior = Z\n",
    "        # Decoder: p(y|x,z)\n",
    "        Y_pred = self.net_P(X, z_prior)                \n",
    "        \n",
    "        # Discriminator loss\n",
    "        T_real = self.net_T(X, Y)\n",
    "        T_fake = self.net_T(X, Y_pred)\n",
    "        \n",
    "        T_real = tf.sigmoid(T_real)\n",
    "        T_fake = tf.sigmoid(T_fake)\n",
    "        \n",
    "        T_loss = -tf.reduce_mean(tf.log(1.0 - T_real + 1e-8) + \\\n",
    "                                 tf.log(T_fake + 1e-8)) \n",
    "        \n",
    "        return T_loss\n",
    "           \n",
    "    \n",
    "    # Fetches a mini-batch of data\n",
    "    def fetch_minibatch(self,X, Y, N_batch):\n",
    "        N = X.shape[0]\n",
    "        idx = np.random.choice(N, N_batch, replace=False)\n",
    "        X_batch = X[idx,:]\n",
    "        Y_batch = Y[idx,:]\n",
    "        return X_batch, Y_batch\n",
    "    \n",
    "    \n",
    "    # Trains the model\n",
    "    def train(self, nIter = 20000, N_u = 2, N_f = 100): \n",
    "\n",
    "        start_time = timeit.default_timer()\n",
    "        for it in range(nIter):     \n",
    "\n",
    "            # Sampling from the latent space for data and collocation points\n",
    "            Z_u = np.random.randn(N_u, self.Z_dim)\n",
    "            Z_f = np.random.randn(N_f, self.Z_dim)\n",
    "\n",
    "            # Define a dictionary for associating placeholders with data\n",
    "            tf_dict = {self.X_u_tf: self.X_u, self.Y_u_tf: self.Y_u, self.X_f_tf: self.X_f,\n",
    "                     self.Z_u_tf: Z_u, self.Z_f_tf: Z_f}  \n",
    "            \n",
    "            # Run the Tensorflow session to minimize the loss\n",
    "            for i in range(self.k1):\n",
    "                self.sess.run(self.train_op_T, tf_dict)\n",
    "            for j in range(self.k2):\n",
    "                self.sess.run(self.train_op_KL, tf_dict)\n",
    "        \n",
    "            # Print\n",
    "            if it % 100 == 0:\n",
    "                elapsed = timeit.default_timer() - start_time\n",
    "                loss_KL_value, reconv, loss_PDE = self.sess.run([self.KL_loss, self.recon_loss, self.PDE_loss], tf_dict)\n",
    "                loss_T_value = self.sess.run(self.T_loss, tf_dict)\n",
    "                print('It: %d, KL_loss: %.2e, Recon_loss: %.2e, PDE_loss: %.2e, T_loss: %.2e, Time: %.2f' % \n",
    "                      (it, loss_KL_value, reconv, loss_PDE, loss_T_value, elapsed))\n",
    "                start_time = timeit.default_timer()\n",
    "                \n",
    "    # Generate samples of y given x by sampling from the latent space z\n",
    "    def sample_generator(self, X, Z):        \n",
    "        # Prior:\n",
    "        z_prior = Z       \n",
    "        # Decoder: p(y|x,z)\n",
    "        Y_pred = self.net_P(X, z_prior)      \n",
    "        return Y_pred\n",
    "\n",
    "    # Predict y given x\n",
    "    def generate_sample(self, X_star):\n",
    "        # Normalize the input data\n",
    "        X_star = (X_star - self.Xmean) / self.Xstd\n",
    "        Z = np.random.randn(X_star.shape[0], self.Z_dim)\n",
    "        tf_dict = {self.X_u_tf: X_star, self.Z_u_tf: Z}       \n",
    "        Y_star = self.sess.run(self.sample, tf_dict) \n",
    "        Y_star = Y_star \n",
    "        return Y_star"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Implementation "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ['KMP_DUPLICATE_LIB_OK']='True'\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import scipy.io\n",
    "from plotting import newfig, savefig\n",
    "import time\n",
    "from scipy import stats\n",
    "\n",
    "np.random.seed(1234)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Number of collocation points\n",
    "N_f = 100\n",
    "\n",
    "# Number of testing points\n",
    "N_ref = 200\n",
    "\n",
    "# Number of the training data (in this example on the boundary)\n",
    "N_u = 20\n",
    "\n",
    "# Define the input, output, latent variable dimension\n",
    "X_dim = 1\n",
    "Y_dim = 1\n",
    "Z_dim = 1\n",
    "\n",
    "# Define noise level\n",
    "noise_level = 0.05\n",
    "\n",
    "# Reference solution\n",
    "def f(X):\n",
    "    return np.sin(np.pi * X)\n",
    "\n",
    "# Position of the collocation points\n",
    "X_f = np.linspace(-1.,1.,N_f)[:,None]\n",
    "\n",
    "# Position of the boundary conditions\n",
    "X_ut = np.linspace(-1.,1.,2)[:,None]\n",
    "X_u = X_ut\n",
    "for i in range(N_u-1):\n",
    "    X_u = np.vstack((X_u, X_ut))\n",
    "\n",
    "# Generate stochastic boundary condition\n",
    "Y_ut = f(X_ut)\n",
    "Y_u = Y_ut + noise_level * np.random.randn(2, Y_dim)\n",
    "for i in range(N_u-1):\n",
    "    Y_ut = noise_level * np.random.randn(2, Y_dim)\n",
    "    Y_u = np.vstack((Y_u, Y_ut))\n",
    "\n",
    "# Reference solution on the testing points\n",
    "X_ref = np.linspace(-1.,1.,N_ref)[:,None]\n",
    "Y_ref = f(X_ref)\n",
    "\n",
    "# Load the reference solution of the stochastic ODE generated by Monte Carlo\n",
    "data = scipy.io.loadmat('./ODE2000.mat')\n",
    "Exact = np.real(data['U']).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Colocations handled automatically by placer.\n",
      "WARNING:tensorflow:From /anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.cast instead.\n"
     ]
    }
   ],
   "source": [
    "# Model creation\n",
    "layers_P = np.array([X_dim+Z_dim,50,50,50,50,Y_dim])\n",
    "layers_Q = np.array([X_dim+Y_dim,50,50,50,50,Z_dim])\n",
    "layers_T = np.array([X_dim+Y_dim,50,50,1])\n",
    "\n",
    "# Define the model\n",
    "model = ODE_UQPINN(X_f, X_u, Y_u, layers_P, layers_Q, layers_T, lam = 1.5, beta = 1.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "It: 0, KL_loss: -1.72e-03, Recon_loss: 4.34e-01, PDE_loss: 4.28e+01, T_loss: 1.39e+00, Time: 2.75\n",
      "It: 100, KL_loss: 8.20e-02, Recon_loss: 7.37e-01, PDE_loss: 4.71e+00, T_loss: 1.33e+00, Time: 5.16\n",
      "It: 200, KL_loss: -3.07e-03, Recon_loss: 3.40e-01, PDE_loss: 4.82e-01, T_loss: 1.39e+00, Time: 5.34\n",
      "It: 300, KL_loss: 5.47e-02, Recon_loss: 1.16e-02, PDE_loss: 3.04e-01, T_loss: 1.34e+00, Time: 5.13\n",
      "It: 400, KL_loss: 6.30e-02, Recon_loss: 5.82e-03, PDE_loss: 2.48e-01, T_loss: 1.32e+00, Time: 5.14\n",
      "It: 500, KL_loss: -5.35e-02, Recon_loss: 5.41e-03, PDE_loss: 1.32e-01, T_loss: 1.41e+00, Time: 5.32\n",
      "It: 600, KL_loss: -7.38e-02, Recon_loss: 2.22e-03, PDE_loss: 7.85e-02, T_loss: 1.45e+00, Time: 5.14\n",
      "It: 700, KL_loss: 1.38e-02, Recon_loss: 1.50e-03, PDE_loss: 4.68e-02, T_loss: 1.40e+00, Time: 5.38\n",
      "It: 800, KL_loss: 2.33e-02, Recon_loss: 3.13e-03, PDE_loss: 2.67e-02, T_loss: 1.37e+00, Time: 5.16\n",
      "It: 900, KL_loss: -2.96e-02, Recon_loss: 4.87e-03, PDE_loss: 2.93e-02, T_loss: 1.40e+00, Time: 5.39\n",
      "It: 1000, KL_loss: -1.54e-02, Recon_loss: 1.20e-03, PDE_loss: 2.39e-02, T_loss: 1.40e+00, Time: 5.22\n",
      "It: 1100, KL_loss: 7.09e-03, Recon_loss: 2.60e-03, PDE_loss: 1.30e-02, T_loss: 1.38e+00, Time: 5.43\n",
      "It: 1200, KL_loss: -2.85e-03, Recon_loss: 7.47e-03, PDE_loss: 1.18e-02, T_loss: 1.39e+00, Time: 5.24\n",
      "It: 1300, KL_loss: -1.03e-02, Recon_loss: 5.25e-03, PDE_loss: 1.37e-02, T_loss: 1.40e+00, Time: 5.43\n",
      "It: 1400, KL_loss: 5.49e-03, Recon_loss: 3.28e-03, PDE_loss: 1.20e-02, T_loss: 1.38e+00, Time: 5.26\n",
      "It: 1500, KL_loss: -9.17e-03, Recon_loss: 1.70e-03, PDE_loss: 1.27e-02, T_loss: 1.39e+00, Time: 5.46\n",
      "It: 1600, KL_loss: 5.60e-04, Recon_loss: 2.89e-03, PDE_loss: 8.00e-03, T_loss: 1.39e+00, Time: 5.27\n",
      "It: 1700, KL_loss: 1.27e-03, Recon_loss: 1.90e-03, PDE_loss: 7.32e-03, T_loss: 1.38e+00, Time: 5.45\n",
      "It: 1800, KL_loss: -6.13e-03, Recon_loss: 6.94e-04, PDE_loss: 9.70e-03, T_loss: 1.39e+00, Time: 5.34\n",
      "It: 1900, KL_loss: 3.15e-03, Recon_loss: 3.87e-04, PDE_loss: 6.47e-03, T_loss: 1.38e+00, Time: 5.55\n",
      "It: 2000, KL_loss: -3.59e-03, Recon_loss: 3.96e-04, PDE_loss: 5.71e-03, T_loss: 1.39e+00, Time: 5.57\n",
      "It: 2100, KL_loss: 1.79e-03, Recon_loss: 5.65e-05, PDE_loss: 6.44e-03, T_loss: 1.38e+00, Time: 5.46\n",
      "It: 2200, KL_loss: -7.59e-04, Recon_loss: 4.49e-04, PDE_loss: 5.39e-03, T_loss: 1.39e+00, Time: 5.47\n",
      "It: 2300, KL_loss: 1.19e-03, Recon_loss: 1.32e-04, PDE_loss: 5.12e-03, T_loss: 1.39e+00, Time: 5.30\n",
      "It: 2400, KL_loss: -1.91e-03, Recon_loss: 1.40e-04, PDE_loss: 4.15e-03, T_loss: 1.39e+00, Time: 5.48\n",
      "It: 2500, KL_loss: 2.37e-03, Recon_loss: 7.16e-05, PDE_loss: 6.30e-03, T_loss: 1.38e+00, Time: 5.30\n",
      "It: 2600, KL_loss: -6.92e-04, Recon_loss: 3.29e-04, PDE_loss: 4.22e-03, T_loss: 1.39e+00, Time: 5.39\n",
      "It: 2700, KL_loss: 2.77e-04, Recon_loss: 8.18e-05, PDE_loss: 3.90e-03, T_loss: 1.39e+00, Time: 5.29\n",
      "It: 2800, KL_loss: -3.09e-04, Recon_loss: 5.08e-05, PDE_loss: 3.83e-03, T_loss: 1.39e+00, Time: 5.40\n",
      "It: 2900, KL_loss: -1.15e-03, Recon_loss: 6.80e-05, PDE_loss: 4.06e-03, T_loss: 1.39e+00, Time: 5.32\n",
      "It: 3000, KL_loss: 3.46e-04, Recon_loss: 7.90e-05, PDE_loss: 3.91e-03, T_loss: 1.39e+00, Time: 5.46\n",
      "It: 3100, KL_loss: -4.10e-04, Recon_loss: 4.25e-05, PDE_loss: 3.60e-03, T_loss: 1.39e+00, Time: 5.24\n",
      "It: 3200, KL_loss: -6.83e-04, Recon_loss: 5.69e-05, PDE_loss: 3.73e-03, T_loss: 1.39e+00, Time: 5.47\n",
      "It: 3300, KL_loss: 2.86e-04, Recon_loss: 6.04e-05, PDE_loss: 3.25e-03, T_loss: 1.39e+00, Time: 5.23\n",
      "It: 3400, KL_loss: -6.66e-05, Recon_loss: 4.08e-05, PDE_loss: 4.17e-03, T_loss: 1.39e+00, Time: 5.39\n",
      "It: 3500, KL_loss: -5.59e-04, Recon_loss: 4.45e-04, PDE_loss: 4.27e-03, T_loss: 1.39e+00, Time: 5.27\n",
      "It: 3600, KL_loss: -8.82e-04, Recon_loss: 1.73e-04, PDE_loss: 3.50e-03, T_loss: 1.39e+00, Time: 5.39\n",
      "It: 3700, KL_loss: -7.17e-04, Recon_loss: 1.53e-04, PDE_loss: 2.76e-03, T_loss: 1.39e+00, Time: 5.20\n",
      "It: 3800, KL_loss: -6.36e-05, Recon_loss: 1.18e-04, PDE_loss: 2.44e-03, T_loss: 1.39e+00, Time: 5.45\n",
      "It: 3900, KL_loss: -4.75e-04, Recon_loss: 2.38e-04, PDE_loss: 3.55e-03, T_loss: 1.39e+00, Time: 5.20\n",
      "It: 4000, KL_loss: 2.44e-04, Recon_loss: 2.14e-04, PDE_loss: 3.44e-03, T_loss: 1.39e+00, Time: 5.37\n",
      "It: 4100, KL_loss: 1.08e-04, Recon_loss: 2.17e-03, PDE_loss: 3.05e-03, T_loss: 1.39e+00, Time: 5.22\n",
      "It: 4200, KL_loss: -1.63e-05, Recon_loss: 3.91e-03, PDE_loss: 3.03e-03, T_loss: 1.39e+00, Time: 5.39\n",
      "It: 4300, KL_loss: 9.78e-05, Recon_loss: 5.10e-05, PDE_loss: 2.19e-03, T_loss: 1.39e+00, Time: 5.34\n",
      "It: 4400, KL_loss: 4.36e-05, Recon_loss: 8.03e-05, PDE_loss: 2.05e-03, T_loss: 1.39e+00, Time: 5.42\n",
      "It: 4500, KL_loss: 2.15e-05, Recon_loss: 5.61e-04, PDE_loss: 3.53e-03, T_loss: 1.39e+00, Time: 5.23\n",
      "It: 4600, KL_loss: 8.33e-04, Recon_loss: 5.36e-05, PDE_loss: 1.97e-03, T_loss: 1.39e+00, Time: 5.32\n",
      "It: 4700, KL_loss: -1.43e-03, Recon_loss: 2.82e-04, PDE_loss: 2.22e-03, T_loss: 1.39e+00, Time: 5.26\n",
      "It: 4800, KL_loss: -9.15e-04, Recon_loss: 1.87e-04, PDE_loss: 2.08e-03, T_loss: 1.39e+00, Time: 5.70\n",
      "It: 4900, KL_loss: -1.46e-03, Recon_loss: 4.06e-03, PDE_loss: 2.39e-03, T_loss: 1.39e+00, Time: 5.56\n",
      "It: 5000, KL_loss: -4.99e-04, Recon_loss: 1.24e-04, PDE_loss: 2.06e-03, T_loss: 1.39e+00, Time: 5.46\n",
      "It: 5100, KL_loss: 1.29e-03, Recon_loss: 5.97e-04, PDE_loss: 1.82e-03, T_loss: 1.39e+00, Time: 5.49\n",
      "It: 5200, KL_loss: 1.82e-03, Recon_loss: 2.22e-04, PDE_loss: 2.55e-03, T_loss: 1.38e+00, Time: 5.15\n",
      "It: 5300, KL_loss: -3.25e-03, Recon_loss: 8.97e-05, PDE_loss: 2.85e-03, T_loss: 1.39e+00, Time: 5.43\n",
      "It: 5400, KL_loss: -3.65e-03, Recon_loss: 1.26e-04, PDE_loss: 4.24e-03, T_loss: 1.39e+00, Time: 5.24\n",
      "It: 5500, KL_loss: -4.67e-03, Recon_loss: 1.56e-03, PDE_loss: 2.91e-03, T_loss: 1.39e+00, Time: 5.36\n",
      "It: 5600, KL_loss: -2.04e-03, Recon_loss: 1.02e-03, PDE_loss: 3.30e-03, T_loss: 1.39e+00, Time: 5.20\n",
      "It: 5700, KL_loss: -1.25e-03, Recon_loss: 6.49e-04, PDE_loss: 2.90e-03, T_loss: 1.39e+00, Time: 5.46\n",
      "It: 5800, KL_loss: 6.91e-05, Recon_loss: 9.78e-04, PDE_loss: 3.94e-03, T_loss: 1.39e+00, Time: 5.21\n",
      "It: 5900, KL_loss: -1.91e-03, Recon_loss: 2.96e-04, PDE_loss: 4.67e-03, T_loss: 1.39e+00, Time: 5.38\n",
      "It: 6000, KL_loss: -2.91e-03, Recon_loss: 2.51e-03, PDE_loss: 3.55e-03, T_loss: 1.39e+00, Time: 5.27\n",
      "It: 6100, KL_loss: -5.18e-03, Recon_loss: 1.17e-03, PDE_loss: 3.23e-03, T_loss: 1.39e+00, Time: 5.39\n",
      "It: 6200, KL_loss: -5.63e-03, Recon_loss: 3.60e-04, PDE_loss: 4.27e-03, T_loss: 1.39e+00, Time: 5.23\n",
      "It: 6300, KL_loss: 3.56e-04, Recon_loss: 6.88e-03, PDE_loss: 3.28e-03, T_loss: 1.39e+00, Time: 5.46\n",
      "It: 6400, KL_loss: 1.93e-03, Recon_loss: 1.07e-04, PDE_loss: 2.66e-03, T_loss: 1.38e+00, Time: 5.25\n",
      "It: 6500, KL_loss: 4.05e-03, Recon_loss: 5.26e-03, PDE_loss: 1.66e-03, T_loss: 1.38e+00, Time: 5.49\n",
      "It: 6600, KL_loss: -1.34e-03, Recon_loss: 4.83e-04, PDE_loss: 1.49e-03, T_loss: 1.39e+00, Time: 5.39\n",
      "It: 6700, KL_loss: -6.95e-03, Recon_loss: 1.46e-03, PDE_loss: 2.81e-03, T_loss: 1.39e+00, Time: 5.41\n",
      "It: 6800, KL_loss: -3.88e-03, Recon_loss: 2.59e-04, PDE_loss: 2.68e-03, T_loss: 1.39e+00, Time: 5.19\n",
      "It: 6900, KL_loss: 8.72e-05, Recon_loss: 3.04e-03, PDE_loss: 1.15e-03, T_loss: 1.38e+00, Time: 5.46\n",
      "It: 7000, KL_loss: 1.89e-03, Recon_loss: 6.22e-05, PDE_loss: 1.10e-03, T_loss: 1.39e+00, Time: 5.22\n",
      "It: 7100, KL_loss: -5.35e-03, Recon_loss: 2.16e-04, PDE_loss: 1.57e-03, T_loss: 1.39e+00, Time: 5.40\n",
      "It: 7200, KL_loss: -1.60e-03, Recon_loss: 7.74e-05, PDE_loss: 2.55e-03, T_loss: 1.39e+00, Time: 5.28\n",
      "It: 7300, KL_loss: 3.37e-03, Recon_loss: 4.74e-04, PDE_loss: 2.34e-03, T_loss: 1.38e+00, Time: 5.40\n",
      "It: 7400, KL_loss: 1.17e-03, Recon_loss: 8.10e-05, PDE_loss: 9.64e-04, T_loss: 1.39e+00, Time: 5.24\n",
      "It: 7500, KL_loss: -4.29e-03, Recon_loss: 6.97e-04, PDE_loss: 2.23e-03, T_loss: 1.39e+00, Time: 5.44\n",
      "It: 7600, KL_loss: -5.83e-03, Recon_loss: 1.24e-03, PDE_loss: 2.68e-03, T_loss: 1.39e+00, Time: 5.20\n",
      "It: 7700, KL_loss: 3.49e-03, Recon_loss: 1.29e-04, PDE_loss: 1.51e-03, T_loss: 1.38e+00, Time: 5.47\n",
      "It: 7800, KL_loss: 3.79e-05, Recon_loss: 7.09e-05, PDE_loss: 1.71e-03, T_loss: 1.39e+00, Time: 5.22\n",
      "It: 7900, KL_loss: -6.93e-03, Recon_loss: 1.23e-04, PDE_loss: 1.62e-03, T_loss: 1.39e+00, Time: 5.39\n",
      "It: 8000, KL_loss: -1.81e-03, Recon_loss: 1.39e-04, PDE_loss: 1.30e-03, T_loss: 1.39e+00, Time: 5.26\n",
      "It: 8100, KL_loss: 4.38e-03, Recon_loss: 2.23e-04, PDE_loss: 1.23e-03, T_loss: 1.38e+00, Time: 5.40\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "It: 8200, KL_loss: -6.62e-03, Recon_loss: 6.58e-04, PDE_loss: 1.65e-03, T_loss: 1.39e+00, Time: 5.25\n",
      "It: 8300, KL_loss: -3.77e-03, Recon_loss: 3.06e-04, PDE_loss: 2.22e-03, T_loss: 1.39e+00, Time: 5.45\n",
      "It: 8400, KL_loss: 5.63e-03, Recon_loss: 1.05e-04, PDE_loss: 1.53e-03, T_loss: 1.38e+00, Time: 5.19\n",
      "It: 8500, KL_loss: -6.18e-03, Recon_loss: 3.10e-04, PDE_loss: 1.60e-03, T_loss: 1.39e+00, Time: 5.55\n",
      "It: 8600, KL_loss: -6.10e-04, Recon_loss: 1.17e-04, PDE_loss: 1.94e-03, T_loss: 1.39e+00, Time: 5.58\n",
      "It: 8700, KL_loss: 6.74e-03, Recon_loss: 2.08e-04, PDE_loss: 2.53e-03, T_loss: 1.38e+00, Time: 5.64\n",
      "It: 8800, KL_loss: -1.03e-02, Recon_loss: 4.61e-04, PDE_loss: 2.67e-03, T_loss: 1.39e+00, Time: 5.99\n",
      "It: 8900, KL_loss: 3.67e-03, Recon_loss: 1.36e-04, PDE_loss: 1.68e-03, T_loss: 1.38e+00, Time: 6.13\n",
      "It: 9000, KL_loss: -9.84e-04, Recon_loss: 2.06e-04, PDE_loss: 1.60e-03, T_loss: 1.39e+00, Time: 6.18\n",
      "It: 9100, KL_loss: -2.21e-03, Recon_loss: 1.88e-04, PDE_loss: 1.72e-03, T_loss: 1.39e+00, Time: 6.28\n",
      "It: 9200, KL_loss: 1.05e-03, Recon_loss: 4.02e-04, PDE_loss: 9.60e-04, T_loss: 1.38e+00, Time: 6.56\n",
      "It: 9300, KL_loss: -6.68e-03, Recon_loss: 2.79e-04, PDE_loss: 2.17e-03, T_loss: 1.39e+00, Time: 6.13\n",
      "It: 9400, KL_loss: 9.45e-03, Recon_loss: 2.74e-05, PDE_loss: 8.51e-04, T_loss: 1.38e+00, Time: 6.05\n",
      "It: 9500, KL_loss: -9.79e-03, Recon_loss: 1.87e-04, PDE_loss: 1.36e-03, T_loss: 1.39e+00, Time: 6.11\n",
      "It: 9600, KL_loss: 1.74e-03, Recon_loss: 9.80e-05, PDE_loss: 1.00e-03, T_loss: 1.38e+00, Time: 5.79\n",
      "It: 9700, KL_loss: 1.45e-04, Recon_loss: 2.61e-04, PDE_loss: 2.79e-03, T_loss: 1.39e+00, Time: 6.41\n",
      "It: 9800, KL_loss: 4.47e-04, Recon_loss: 8.60e-05, PDE_loss: 1.13e-03, T_loss: 1.39e+00, Time: 6.08\n",
      "It: 9900, KL_loss: -3.65e-03, Recon_loss: 9.13e-04, PDE_loss: 1.31e-03, T_loss: 1.39e+00, Time: 5.77\n",
      "It: 10000, KL_loss: -6.02e-03, Recon_loss: 4.59e-04, PDE_loss: 2.04e-03, T_loss: 1.39e+00, Time: 5.50\n",
      "It: 10100, KL_loss: 7.04e-03, Recon_loss: 4.51e-04, PDE_loss: 1.08e-03, T_loss: 1.39e+00, Time: 5.79\n",
      "It: 10200, KL_loss: -5.73e-03, Recon_loss: 2.11e-04, PDE_loss: 1.75e-03, T_loss: 1.39e+00, Time: 5.86\n",
      "It: 10300, KL_loss: -2.05e-03, Recon_loss: 7.30e-03, PDE_loss: 1.64e-03, T_loss: 1.38e+00, Time: 6.26\n",
      "It: 10400, KL_loss: -2.26e-03, Recon_loss: 2.41e-04, PDE_loss: 1.40e-03, T_loss: 1.39e+00, Time: 6.05\n",
      "It: 10500, KL_loss: 8.63e-03, Recon_loss: 3.64e-05, PDE_loss: 8.02e-04, T_loss: 1.39e+00, Time: 7.18\n",
      "It: 10600, KL_loss: -6.86e-03, Recon_loss: 9.97e-05, PDE_loss: 1.39e-03, T_loss: 1.39e+00, Time: 6.19\n",
      "It: 10700, KL_loss: -2.00e-03, Recon_loss: 1.62e-03, PDE_loss: 1.49e-03, T_loss: 1.38e+00, Time: 5.66\n",
      "It: 10800, KL_loss: -5.52e-03, Recon_loss: 1.58e-04, PDE_loss: 1.25e-03, T_loss: 1.39e+00, Time: 6.17\n",
      "It: 10900, KL_loss: 1.14e-02, Recon_loss: 1.64e-05, PDE_loss: 8.51e-04, T_loss: 1.38e+00, Time: 6.04\n",
      "It: 11000, KL_loss: -1.07e-02, Recon_loss: 2.82e-04, PDE_loss: 1.14e-03, T_loss: 1.39e+00, Time: 6.48\n",
      "It: 11100, KL_loss: -3.32e-03, Recon_loss: 6.82e-05, PDE_loss: 1.28e-03, T_loss: 1.38e+00, Time: 6.17\n",
      "It: 11200, KL_loss: -3.63e-03, Recon_loss: 7.68e-05, PDE_loss: 1.34e-03, T_loss: 1.39e+00, Time: 5.49\n",
      "It: 11300, KL_loss: 1.25e-02, Recon_loss: 1.61e-03, PDE_loss: 8.73e-04, T_loss: 1.39e+00, Time: 5.71\n",
      "It: 11400, KL_loss: -3.71e-03, Recon_loss: 7.44e-05, PDE_loss: 1.03e-03, T_loss: 1.39e+00, Time: 5.69\n",
      "It: 11500, KL_loss: -7.08e-03, Recon_loss: 1.99e-04, PDE_loss: 8.78e-04, T_loss: 1.39e+00, Time: 5.79\n",
      "It: 11600, KL_loss: -4.36e-03, Recon_loss: 5.69e-05, PDE_loss: 8.17e-04, T_loss: 1.39e+00, Time: 5.49\n",
      "It: 11700, KL_loss: 9.37e-03, Recon_loss: 4.94e-04, PDE_loss: 1.47e-03, T_loss: 1.39e+00, Time: 5.45\n",
      "It: 11800, KL_loss: -8.84e-04, Recon_loss: 4.61e-04, PDE_loss: 1.45e-03, T_loss: 1.39e+00, Time: 5.32\n",
      "It: 11900, KL_loss: -1.04e-02, Recon_loss: 4.01e-04, PDE_loss: 8.19e-04, T_loss: 1.39e+00, Time: 5.54\n",
      "It: 12000, KL_loss: -3.10e-03, Recon_loss: 3.32e-04, PDE_loss: 1.16e-03, T_loss: 1.38e+00, Time: 5.79\n",
      "It: 12100, KL_loss: 3.24e-03, Recon_loss: 4.75e-04, PDE_loss: 7.42e-04, T_loss: 1.39e+00, Time: 5.55\n",
      "It: 12200, KL_loss: 1.47e-02, Recon_loss: 6.82e-04, PDE_loss: 6.80e-04, T_loss: 1.38e+00, Time: 5.80\n",
      "It: 12300, KL_loss: -1.42e-02, Recon_loss: 1.43e-04, PDE_loss: 9.67e-04, T_loss: 1.39e+00, Time: 5.57\n",
      "It: 12400, KL_loss: -3.84e-03, Recon_loss: 5.98e-05, PDE_loss: 6.71e-04, T_loss: 1.38e+00, Time: 5.42\n",
      "It: 12500, KL_loss: 1.48e-03, Recon_loss: 8.87e-05, PDE_loss: 1.11e-03, T_loss: 1.39e+00, Time: 5.73\n",
      "It: 12600, KL_loss: 1.61e-02, Recon_loss: 8.18e-04, PDE_loss: 6.95e-04, T_loss: 1.38e+00, Time: 6.23\n",
      "It: 12700, KL_loss: -1.38e-02, Recon_loss: 1.74e-03, PDE_loss: 1.01e-03, T_loss: 1.39e+00, Time: 5.78\n",
      "It: 12800, KL_loss: -6.25e-03, Recon_loss: 7.39e-04, PDE_loss: 6.02e-04, T_loss: 1.38e+00, Time: 6.06\n",
      "It: 12900, KL_loss: 6.16e-04, Recon_loss: 3.40e-05, PDE_loss: 7.16e-04, T_loss: 1.39e+00, Time: 5.83\n",
      "It: 13000, KL_loss: 1.70e-02, Recon_loss: 1.60e-02, PDE_loss: 9.50e-04, T_loss: 1.38e+00, Time: 5.86\n",
      "It: 13100, KL_loss: -1.10e-02, Recon_loss: 1.84e-04, PDE_loss: 7.10e-04, T_loss: 1.39e+00, Time: 5.60\n",
      "It: 13200, KL_loss: -7.99e-03, Recon_loss: 3.89e-05, PDE_loss: 5.10e-04, T_loss: 1.38e+00, Time: 5.93\n",
      "It: 13300, KL_loss: -3.04e-03, Recon_loss: 4.65e-04, PDE_loss: 7.29e-04, T_loss: 1.39e+00, Time: 5.78\n",
      "It: 13400, KL_loss: 1.63e-02, Recon_loss: 1.06e-03, PDE_loss: 6.49e-04, T_loss: 1.38e+00, Time: 5.76\n",
      "It: 13500, KL_loss: -9.12e-03, Recon_loss: 2.39e-04, PDE_loss: 7.91e-04, T_loss: 1.39e+00, Time: 5.23\n",
      "It: 13600, KL_loss: -7.57e-03, Recon_loss: 2.61e-05, PDE_loss: 2.95e-04, T_loss: 1.38e+00, Time: 5.54\n",
      "It: 13700, KL_loss: 1.28e-03, Recon_loss: 7.91e-05, PDE_loss: 6.80e-04, T_loss: 1.39e+00, Time: 5.79\n",
      "It: 13800, KL_loss: 1.44e-02, Recon_loss: 4.97e-05, PDE_loss: 5.89e-04, T_loss: 1.38e+00, Time: 6.29\n",
      "It: 13900, KL_loss: -1.11e-02, Recon_loss: 2.39e-03, PDE_loss: 7.34e-04, T_loss: 1.39e+00, Time: 5.76\n",
      "It: 14000, KL_loss: -7.64e-03, Recon_loss: 1.34e-05, PDE_loss: 3.82e-04, T_loss: 1.38e+00, Time: 5.57\n",
      "It: 14100, KL_loss: 7.15e-03, Recon_loss: 3.46e-05, PDE_loss: 5.66e-04, T_loss: 1.39e+00, Time: 5.38\n",
      "It: 14200, KL_loss: 9.20e-03, Recon_loss: 4.92e-05, PDE_loss: 6.69e-04, T_loss: 1.38e+00, Time: 5.50\n",
      "It: 14300, KL_loss: -1.18e-02, Recon_loss: 3.67e-04, PDE_loss: 1.21e-03, T_loss: 1.39e+00, Time: 5.39\n",
      "It: 14400, KL_loss: -4.20e-03, Recon_loss: 1.20e-04, PDE_loss: 4.64e-04, T_loss: 1.39e+00, Time: 6.11\n",
      "It: 14500, KL_loss: 1.20e-02, Recon_loss: 4.76e-05, PDE_loss: 5.28e-04, T_loss: 1.39e+00, Time: 5.72\n",
      "It: 14600, KL_loss: -2.08e-03, Recon_loss: 7.93e-04, PDE_loss: 5.12e-04, T_loss: 1.39e+00, Time: 5.23\n",
      "It: 14700, KL_loss: -9.85e-03, Recon_loss: 1.02e-04, PDE_loss: 2.81e-04, T_loss: 1.39e+00, Time: 5.69\n",
      "It: 14800, KL_loss: 1.90e-03, Recon_loss: 1.59e-03, PDE_loss: 5.43e-04, T_loss: 1.39e+00, Time: 5.71\n",
      "It: 14900, KL_loss: 1.45e-02, Recon_loss: 1.48e-05, PDE_loss: 2.94e-04, T_loss: 1.38e+00, Time: 5.30\n",
      "It: 15000, KL_loss: -1.22e-02, Recon_loss: 5.04e-04, PDE_loss: 4.89e-04, T_loss: 1.39e+00, Time: 5.63\n",
      "It: 15100, KL_loss: -4.93e-03, Recon_loss: 2.79e-04, PDE_loss: 4.83e-04, T_loss: 1.39e+00, Time: 5.99\n",
      "It: 15200, KL_loss: 1.40e-02, Recon_loss: 2.17e-05, PDE_loss: 4.19e-04, T_loss: 1.39e+00, Time: 5.50\n",
      "It: 15300, KL_loss: -7.79e-03, Recon_loss: 1.58e-04, PDE_loss: 5.05e-04, T_loss: 1.39e+00, Time: 6.48\n",
      "It: 15400, KL_loss: -9.42e-03, Recon_loss: 1.50e-05, PDE_loss: 2.56e-04, T_loss: 1.38e+00, Time: 6.32\n",
      "It: 15500, KL_loss: 7.68e-03, Recon_loss: 1.22e-04, PDE_loss: 5.08e-04, T_loss: 1.39e+00, Time: 5.90\n",
      "It: 15600, KL_loss: 5.32e-03, Recon_loss: 2.45e-05, PDE_loss: 3.60e-04, T_loss: 1.39e+00, Time: 6.10\n",
      "It: 15700, KL_loss: -1.15e-02, Recon_loss: 5.01e-05, PDE_loss: 2.13e-04, T_loss: 1.39e+00, Time: 5.91\n",
      "It: 15800, KL_loss: 1.38e-03, Recon_loss: 5.73e-04, PDE_loss: 3.67e-04, T_loss: 1.39e+00, Time: 5.70\n",
      "It: 15900, KL_loss: 1.44e-02, Recon_loss: 1.17e-05, PDE_loss: 3.06e-04, T_loss: 1.39e+00, Time: 6.38\n",
      "It: 16000, KL_loss: -1.21e-02, Recon_loss: 7.43e-06, PDE_loss: 4.81e-04, T_loss: 1.39e+00, Time: 5.87\n",
      "It: 16100, KL_loss: -5.37e-03, Recon_loss: 1.91e-05, PDE_loss: 4.95e-04, T_loss: 1.39e+00, Time: 5.77\n",
      "It: 16200, KL_loss: 1.71e-02, Recon_loss: 1.50e-03, PDE_loss: 9.05e-04, T_loss: 1.39e+00, Time: 5.67\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "It: 16300, KL_loss: -1.11e-02, Recon_loss: 1.35e-05, PDE_loss: 5.02e-04, T_loss: 1.39e+00, Time: 5.79\n",
      "It: 16400, KL_loss: -8.48e-03, Recon_loss: 1.05e-04, PDE_loss: 2.85e-04, T_loss: 1.38e+00, Time: 6.11\n",
      "It: 16500, KL_loss: 1.23e-02, Recon_loss: 1.12e-04, PDE_loss: 3.66e-04, T_loss: 1.39e+00, Time: 6.48\n",
      "It: 16600, KL_loss: -3.32e-03, Recon_loss: 3.01e-05, PDE_loss: 7.72e-04, T_loss: 1.39e+00, Time: 6.10\n",
      "It: 16700, KL_loss: -1.09e-02, Recon_loss: 2.63e-05, PDE_loss: 2.19e-04, T_loss: 1.38e+00, Time: 5.53\n",
      "It: 16800, KL_loss: 5.92e-03, Recon_loss: 3.42e-05, PDE_loss: 3.79e-04, T_loss: 1.39e+00, Time: 5.79\n",
      "It: 16900, KL_loss: 8.26e-03, Recon_loss: 2.86e-05, PDE_loss: 4.14e-04, T_loss: 1.39e+00, Time: 5.74\n",
      "It: 17000, KL_loss: -1.30e-02, Recon_loss: 5.67e-04, PDE_loss: 3.39e-04, T_loss: 1.39e+00, Time: 5.40\n",
      "It: 17100, KL_loss: -6.38e-04, Recon_loss: 3.36e-04, PDE_loss: 4.65e-04, T_loss: 1.39e+00, Time: 5.55\n",
      "It: 17200, KL_loss: 1.77e-02, Recon_loss: 2.62e-04, PDE_loss: 3.57e-04, T_loss: 1.38e+00, Time: 5.54\n",
      "It: 17300, KL_loss: -1.41e-02, Recon_loss: 2.42e-04, PDE_loss: 2.32e-04, T_loss: 1.39e+00, Time: 5.33\n",
      "It: 17400, KL_loss: -5.34e-03, Recon_loss: 3.14e-05, PDE_loss: 4.16e-04, T_loss: 1.39e+00, Time: 5.60\n",
      "It: 17500, KL_loss: 1.94e-02, Recon_loss: 1.10e-05, PDE_loss: 2.29e-04, T_loss: 1.38e+00, Time: 5.51\n",
      "It: 17600, KL_loss: -1.25e-02, Recon_loss: 8.56e-05, PDE_loss: 3.05e-04, T_loss: 1.39e+00, Time: 6.13\n",
      "It: 17700, KL_loss: -7.47e-03, Recon_loss: 1.20e-03, PDE_loss: 4.22e-04, T_loss: 1.39e+00, Time: 6.07\n",
      "It: 17800, KL_loss: 1.39e-02, Recon_loss: 3.58e-05, PDE_loss: 2.09e-04, T_loss: 1.39e+00, Time: 6.18\n",
      "It: 17900, KL_loss: -2.90e-03, Recon_loss: 2.54e-05, PDE_loss: 3.87e-04, T_loss: 1.39e+00, Time: 6.22\n",
      "It: 18000, KL_loss: -9.64e-03, Recon_loss: 8.92e-06, PDE_loss: 2.85e-04, T_loss: 1.39e+00, Time: 5.83\n",
      "It: 18100, KL_loss: 7.51e-03, Recon_loss: 6.58e-04, PDE_loss: 4.43e-04, T_loss: 1.39e+00, Time: 5.55\n",
      "It: 18200, KL_loss: 3.63e-03, Recon_loss: 1.18e-04, PDE_loss: 3.69e-04, T_loss: 1.39e+00, Time: 6.39\n",
      "It: 18300, KL_loss: -9.88e-03, Recon_loss: 1.20e-05, PDE_loss: 2.06e-04, T_loss: 1.39e+00, Time: 6.08\n",
      "It: 18400, KL_loss: 3.22e-03, Recon_loss: 3.36e-05, PDE_loss: 3.17e-04, T_loss: 1.39e+00, Time: 6.17\n",
      "It: 18500, KL_loss: 7.58e-03, Recon_loss: 1.21e-05, PDE_loss: 2.46e-04, T_loss: 1.39e+00, Time: 6.16\n",
      "It: 18600, KL_loss: -1.01e-02, Recon_loss: 6.91e-05, PDE_loss: 1.83e-04, T_loss: 1.39e+00, Time: 5.86\n",
      "It: 18700, KL_loss: -4.12e-04, Recon_loss: 1.28e-05, PDE_loss: 2.91e-04, T_loss: 1.39e+00, Time: 5.48\n",
      "It: 18800, KL_loss: 9.93e-03, Recon_loss: 5.09e-05, PDE_loss: 2.10e-04, T_loss: 1.39e+00, Time: 5.70\n",
      "It: 18900, KL_loss: -1.01e-02, Recon_loss: 2.62e-04, PDE_loss: 3.25e-04, T_loss: 1.39e+00, Time: 5.46\n",
      "It: 19000, KL_loss: -1.42e-03, Recon_loss: 2.68e-05, PDE_loss: 2.56e-04, T_loss: 1.39e+00, Time: 5.61\n",
      "It: 19100, KL_loss: 9.38e-03, Recon_loss: 3.72e-05, PDE_loss: 2.49e-04, T_loss: 1.39e+00, Time: 5.75\n",
      "It: 19200, KL_loss: -9.21e-03, Recon_loss: 8.33e-06, PDE_loss: 3.45e-04, T_loss: 1.39e+00, Time: 6.16\n",
      "It: 19300, KL_loss: -1.02e-03, Recon_loss: 1.18e-05, PDE_loss: 2.85e-04, T_loss: 1.39e+00, Time: 5.36\n",
      "It: 19400, KL_loss: 9.89e-03, Recon_loss: 1.20e-04, PDE_loss: 1.94e-04, T_loss: 1.39e+00, Time: 5.93\n",
      "It: 19500, KL_loss: -8.87e-03, Recon_loss: 1.91e-05, PDE_loss: 1.65e-04, T_loss: 1.39e+00, Time: 5.86\n",
      "It: 19600, KL_loss: 7.52e-04, Recon_loss: 7.62e-05, PDE_loss: 2.41e-04, T_loss: 1.39e+00, Time: 6.30\n",
      "It: 19700, KL_loss: 7.74e-03, Recon_loss: 5.24e-06, PDE_loss: 2.28e-04, T_loss: 1.39e+00, Time: 5.66\n",
      "It: 19800, KL_loss: -8.67e-03, Recon_loss: 3.66e-05, PDE_loss: 1.64e-04, T_loss: 1.39e+00, Time: 6.31\n",
      "It: 19900, KL_loss: 3.96e-03, Recon_loss: 8.24e-05, PDE_loss: 3.12e-04, T_loss: 1.39e+00, Time: 6.13\n",
      "It: 20000, KL_loss: 1.88e-03, Recon_loss: 2.02e-05, PDE_loss: 3.24e-04, T_loss: 1.39e+00, Time: 5.64\n",
      "It: 20100, KL_loss: -7.46e-03, Recon_loss: 7.51e-06, PDE_loss: 1.32e-04, T_loss: 1.39e+00, Time: 5.29\n",
      "It: 20200, KL_loss: 7.69e-03, Recon_loss: 3.62e-05, PDE_loss: 5.10e-04, T_loss: 1.39e+00, Time: 5.55\n",
      "It: 20300, KL_loss: -2.79e-03, Recon_loss: 9.43e-04, PDE_loss: 4.88e-04, T_loss: 1.39e+00, Time: 6.03\n",
      "It: 20400, KL_loss: -7.43e-03, Recon_loss: 2.03e-04, PDE_loss: 1.91e-04, T_loss: 1.39e+00, Time: 5.79\n",
      "It: 20500, KL_loss: 1.07e-02, Recon_loss: 2.11e-05, PDE_loss: 1.85e-04, T_loss: 1.39e+00, Time: 5.93\n",
      "It: 20600, KL_loss: -5.12e-03, Recon_loss: 1.41e-05, PDE_loss: 2.53e-04, T_loss: 1.39e+00, Time: 5.46\n",
      "It: 20700, KL_loss: -6.73e-03, Recon_loss: 1.01e-05, PDE_loss: 2.37e-04, T_loss: 1.39e+00, Time: 5.31\n",
      "It: 20800, KL_loss: 8.67e-03, Recon_loss: 9.49e-05, PDE_loss: 1.84e-04, T_loss: 1.39e+00, Time: 5.50\n",
      "It: 20900, KL_loss: -5.63e-03, Recon_loss: 2.56e-04, PDE_loss: 2.85e-04, T_loss: 1.39e+00, Time: 5.29\n",
      "It: 21000, KL_loss: -5.04e-03, Recon_loss: 2.70e-05, PDE_loss: 2.09e-04, T_loss: 1.39e+00, Time: 5.49\n",
      "It: 21100, KL_loss: 1.06e-02, Recon_loss: 5.73e-06, PDE_loss: 2.52e-04, T_loss: 1.39e+00, Time: 5.28\n",
      "It: 21200, KL_loss: -8.38e-03, Recon_loss: 6.65e-06, PDE_loss: 1.98e-04, T_loss: 1.39e+00, Time: 5.44\n",
      "It: 21300, KL_loss: -1.04e-04, Recon_loss: 6.08e-04, PDE_loss: 2.83e-04, T_loss: 1.39e+00, Time: 5.31\n",
      "It: 21400, KL_loss: 8.37e-03, Recon_loss: 2.56e-05, PDE_loss: 1.44e-04, T_loss: 1.39e+00, Time: 5.49\n",
      "It: 21500, KL_loss: -8.22e-03, Recon_loss: 6.37e-05, PDE_loss: 2.04e-04, T_loss: 1.39e+00, Time: 5.57\n",
      "It: 21600, KL_loss: 5.24e-03, Recon_loss: 2.57e-05, PDE_loss: 1.98e-04, T_loss: 1.39e+00, Time: 5.32\n",
      "It: 21700, KL_loss: -3.36e-03, Recon_loss: 4.59e-04, PDE_loss: 4.20e-04, T_loss: 1.39e+00, Time: 5.44\n",
      "It: 21800, KL_loss: -5.76e-03, Recon_loss: 5.15e-05, PDE_loss: 2.05e-04, T_loss: 1.39e+00, Time: 5.28\n",
      "It: 21900, KL_loss: 1.33e-02, Recon_loss: 3.40e-05, PDE_loss: 2.56e-04, T_loss: 1.39e+00, Time: 5.50\n",
      "It: 22000, KL_loss: -9.02e-03, Recon_loss: 3.35e-05, PDE_loss: 2.08e-04, T_loss: 1.39e+00, Time: 5.29\n",
      "It: 22100, KL_loss: -2.27e-03, Recon_loss: 2.54e-03, PDE_loss: 3.69e-04, T_loss: 1.39e+00, Time: 5.49\n",
      "It: 22200, KL_loss: 1.05e-02, Recon_loss: 8.31e-05, PDE_loss: 2.05e-04, T_loss: 1.39e+00, Time: 5.31\n",
      "It: 22300, KL_loss: -8.80e-03, Recon_loss: 1.29e-05, PDE_loss: 1.44e-04, T_loss: 1.39e+00, Time: 5.47\n",
      "It: 22400, KL_loss: 5.05e-03, Recon_loss: 1.22e-04, PDE_loss: 2.26e-04, T_loss: 1.39e+00, Time: 5.29\n",
      "It: 22500, KL_loss: -9.69e-04, Recon_loss: 8.07e-05, PDE_loss: 3.45e-04, T_loss: 1.39e+00, Time: 5.51\n",
      "It: 22600, KL_loss: -6.52e-03, Recon_loss: 2.13e-05, PDE_loss: 1.59e-04, T_loss: 1.39e+00, Time: 5.35\n",
      "It: 22700, KL_loss: 9.21e-03, Recon_loss: 1.83e-06, PDE_loss: 2.43e-04, T_loss: 1.39e+00, Time: 5.51\n",
      "It: 22800, KL_loss: -7.13e-03, Recon_loss: 3.26e-04, PDE_loss: 2.25e-04, T_loss: 1.39e+00, Time: 5.23\n",
      "It: 22900, KL_loss: -3.80e-03, Recon_loss: 3.38e-05, PDE_loss: 2.05e-04, T_loss: 1.39e+00, Time: 5.30\n",
      "It: 23000, KL_loss: 7.98e-03, Recon_loss: 3.10e-04, PDE_loss: 2.29e-04, T_loss: 1.39e+00, Time: 5.50\n",
      "It: 23100, KL_loss: -8.44e-03, Recon_loss: 7.78e-06, PDE_loss: 1.19e-04, T_loss: 1.39e+00, Time: 5.25\n",
      "It: 23200, KL_loss: 8.95e-03, Recon_loss: 9.15e-05, PDE_loss: 1.83e-04, T_loss: 1.39e+00, Time: 5.49\n",
      "It: 23300, KL_loss: -8.40e-03, Recon_loss: 9.38e-04, PDE_loss: 2.08e-04, T_loss: 1.39e+00, Time: 5.29\n",
      "It: 23400, KL_loss: -1.81e-03, Recon_loss: 6.31e-06, PDE_loss: 1.63e-04, T_loss: 1.39e+00, Time: 5.49\n",
      "It: 23500, KL_loss: 5.53e-03, Recon_loss: 5.86e-05, PDE_loss: 2.10e-04, T_loss: 1.39e+00, Time: 5.28\n",
      "It: 23600, KL_loss: -8.18e-03, Recon_loss: 6.17e-06, PDE_loss: 1.18e-04, T_loss: 1.39e+00, Time: 5.41\n",
      "It: 23700, KL_loss: 1.25e-02, Recon_loss: 6.83e-06, PDE_loss: 2.18e-04, T_loss: 1.39e+00, Time: 5.31\n",
      "It: 23800, KL_loss: -9.44e-03, Recon_loss: 6.44e-05, PDE_loss: 1.38e-04, T_loss: 1.39e+00, Time: 5.46\n",
      "It: 23900, KL_loss: 3.30e-03, Recon_loss: 1.03e-05, PDE_loss: 1.75e-04, T_loss: 1.39e+00, Time: 5.25\n",
      "It: 24000, KL_loss: -4.04e-03, Recon_loss: 3.19e-05, PDE_loss: 2.06e-04, T_loss: 1.39e+00, Time: 5.48\n",
      "It: 24100, KL_loss: -4.59e-03, Recon_loss: 2.66e-06, PDE_loss: 1.50e-04, T_loss: 1.39e+00, Time: 5.29\n",
      "It: 24200, KL_loss: 9.23e-03, Recon_loss: 5.45e-05, PDE_loss: 1.72e-04, T_loss: 1.39e+00, Time: 5.49\n",
      "It: 24300, KL_loss: -9.02e-03, Recon_loss: 1.06e-04, PDE_loss: 1.83e-04, T_loss: 1.39e+00, Time: 5.29\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "It: 24400, KL_loss: 1.04e-02, Recon_loss: 2.85e-06, PDE_loss: 2.04e-04, T_loss: 1.39e+00, Time: 5.45\n",
      "It: 24500, KL_loss: -8.92e-03, Recon_loss: 1.97e-05, PDE_loss: 1.53e-04, T_loss: 1.39e+00, Time: 5.27\n",
      "It: 24600, KL_loss: 7.18e-03, Recon_loss: 2.14e-05, PDE_loss: 1.06e-04, T_loss: 1.39e+00, Time: 5.50\n",
      "It: 24700, KL_loss: -6.96e-03, Recon_loss: 2.35e-05, PDE_loss: 1.27e-04, T_loss: 1.39e+00, Time: 5.51\n",
      "It: 24800, KL_loss: 2.28e-03, Recon_loss: 1.87e-04, PDE_loss: 1.73e-04, T_loss: 1.39e+00, Time: 5.30\n",
      "It: 24900, KL_loss: -2.83e-03, Recon_loss: 1.29e-05, PDE_loss: 1.08e-04, T_loss: 1.39e+00, Time: 5.61\n",
      "It: 25000, KL_loss: -4.83e-04, Recon_loss: 1.64e-05, PDE_loss: 2.30e-04, T_loss: 1.39e+00, Time: 5.55\n",
      "It: 25100, KL_loss: -1.21e-03, Recon_loss: 1.82e-05, PDE_loss: 1.19e-04, T_loss: 1.39e+00, Time: 5.81\n",
      "It: 25200, KL_loss: -1.66e-03, Recon_loss: 2.74e-04, PDE_loss: 1.66e-04, T_loss: 1.39e+00, Time: 6.03\n",
      "It: 25300, KL_loss: -1.15e-03, Recon_loss: 3.05e-06, PDE_loss: 8.38e-05, T_loss: 1.39e+00, Time: 6.28\n",
      "It: 25400, KL_loss: 5.57e-05, Recon_loss: 6.04e-06, PDE_loss: 1.19e-04, T_loss: 1.39e+00, Time: 6.32\n",
      "It: 25500, KL_loss: -4.86e-03, Recon_loss: 1.27e-05, PDE_loss: 9.08e-05, T_loss: 1.39e+00, Time: 5.24\n",
      "It: 25600, KL_loss: 3.98e-03, Recon_loss: 4.67e-05, PDE_loss: 1.11e-04, T_loss: 1.39e+00, Time: 5.50\n",
      "It: 25700, KL_loss: -7.00e-03, Recon_loss: 7.47e-06, PDE_loss: 6.54e-05, T_loss: 1.39e+00, Time: 5.32\n",
      "It: 25800, KL_loss: 7.68e-03, Recon_loss: 8.78e-03, PDE_loss: 1.12e-03, T_loss: 1.39e+00, Time: 5.48\n",
      "It: 25900, KL_loss: -7.71e-03, Recon_loss: 3.57e-04, PDE_loss: 1.15e-04, T_loss: 1.39e+00, Time: 5.34\n",
      "It: 26000, KL_loss: 5.06e-03, Recon_loss: 1.06e-05, PDE_loss: 1.08e-04, T_loss: 1.39e+00, Time: 5.60\n",
      "It: 26100, KL_loss: -1.19e-03, Recon_loss: 1.28e-03, PDE_loss: 3.43e-04, T_loss: 1.39e+00, Time: 5.58\n",
      "It: 26200, KL_loss: -6.68e-03, Recon_loss: 3.77e-05, PDE_loss: 1.17e-04, T_loss: 1.39e+00, Time: 5.29\n",
      "It: 26300, KL_loss: 6.28e-03, Recon_loss: 3.50e-06, PDE_loss: 8.99e-05, T_loss: 1.39e+00, Time: 5.41\n",
      "It: 26400, KL_loss: -7.01e-03, Recon_loss: 1.69e-03, PDE_loss: 2.84e-04, T_loss: 1.39e+00, Time: 5.28\n",
      "It: 26500, KL_loss: 5.96e-03, Recon_loss: 8.72e-03, PDE_loss: 9.70e-04, T_loss: 1.39e+00, Time: 5.49\n",
      "It: 26600, KL_loss: -2.85e-03, Recon_loss: 1.86e-06, PDE_loss: 8.54e-05, T_loss: 1.39e+00, Time: 5.35\n",
      "It: 26700, KL_loss: -4.30e-03, Recon_loss: 4.83e-05, PDE_loss: 1.18e-04, T_loss: 1.39e+00, Time: 5.57\n",
      "It: 26800, KL_loss: 6.80e-03, Recon_loss: 7.76e-05, PDE_loss: 8.66e-05, T_loss: 1.39e+00, Time: 5.82\n",
      "It: 26900, KL_loss: -5.48e-03, Recon_loss: 9.26e-04, PDE_loss: 2.33e-04, T_loss: 1.39e+00, Time: 5.43\n",
      "It: 27000, KL_loss: 1.43e-04, Recon_loss: 1.02e-05, PDE_loss: 8.15e-05, T_loss: 1.39e+00, Time: 5.69\n",
      "It: 27100, KL_loss: 3.55e-03, Recon_loss: 4.36e-06, PDE_loss: 1.18e-04, T_loss: 1.39e+00, Time: 5.42\n",
      "It: 27200, KL_loss: -6.98e-03, Recon_loss: 4.26e-05, PDE_loss: 6.68e-05, T_loss: 1.39e+00, Time: 5.51\n",
      "It: 27300, KL_loss: 2.77e-03, Recon_loss: 1.95e-05, PDE_loss: 1.28e-04, T_loss: 1.39e+00, Time: 5.39\n",
      "It: 27400, KL_loss: 7.62e-03, Recon_loss: 1.62e-04, PDE_loss: 1.25e-04, T_loss: 1.39e+00, Time: 5.49\n",
      "It: 27500, KL_loss: -8.06e-03, Recon_loss: 2.11e-05, PDE_loss: 1.24e-04, T_loss: 1.39e+00, Time: 5.45\n",
      "It: 27600, KL_loss: -3.83e-03, Recon_loss: 7.32e-05, PDE_loss: 1.13e-04, T_loss: 1.39e+00, Time: 5.38\n",
      "It: 27700, KL_loss: 1.08e-02, Recon_loss: 1.55e-04, PDE_loss: 1.04e-04, T_loss: 1.39e+00, Time: 5.76\n",
      "It: 27800, KL_loss: -5.03e-03, Recon_loss: 5.52e-05, PDE_loss: 9.96e-05, T_loss: 1.39e+00, Time: 5.27\n",
      "It: 27900, KL_loss: -5.19e-03, Recon_loss: 1.12e-05, PDE_loss: 6.62e-05, T_loss: 1.39e+00, Time: 5.45\n",
      "It: 28000, KL_loss: 9.83e-03, Recon_loss: 2.07e-03, PDE_loss: 4.05e-04, T_loss: 1.39e+00, Time: 5.29\n",
      "It: 28100, KL_loss: -9.45e-04, Recon_loss: 9.49e-06, PDE_loss: 1.07e-04, T_loss: 1.39e+00, Time: 5.93\n",
      "It: 28200, KL_loss: -9.58e-03, Recon_loss: 8.62e-06, PDE_loss: 4.99e-05, T_loss: 1.39e+00, Time: 5.92\n",
      "It: 28300, KL_loss: 3.73e-03, Recon_loss: 8.10e-06, PDE_loss: 7.65e-05, T_loss: 1.39e+00, Time: 5.36\n",
      "It: 28400, KL_loss: 4.90e-03, Recon_loss: 5.93e-06, PDE_loss: 1.06e-04, T_loss: 1.39e+00, Time: 5.85\n",
      "It: 28500, KL_loss: -2.28e-03, Recon_loss: 1.57e-05, PDE_loss: 8.26e-05, T_loss: 1.39e+00, Time: 5.64\n",
      "It: 28600, KL_loss: -8.36e-03, Recon_loss: 1.81e-03, PDE_loss: 2.18e-04, T_loss: 1.39e+00, Time: 6.16\n",
      "It: 28700, KL_loss: 1.61e-03, Recon_loss: 5.79e-06, PDE_loss: 5.27e-05, T_loss: 1.39e+00, Time: 5.49\n",
      "It: 28800, KL_loss: 3.72e-03, Recon_loss: 1.03e-05, PDE_loss: 5.99e-05, T_loss: 1.39e+00, Time: 5.93\n",
      "It: 28900, KL_loss: 8.50e-04, Recon_loss: 1.83e-04, PDE_loss: 9.89e-05, T_loss: 1.39e+00, Time: 5.82\n",
      "It: 29000, KL_loss: 1.73e-03, Recon_loss: 1.41e-02, PDE_loss: 9.30e-04, T_loss: 1.39e+00, Time: 5.41\n",
      "It: 29100, KL_loss: 1.23e-03, Recon_loss: 5.91e-05, PDE_loss: 9.21e-05, T_loss: 1.39e+00, Time: 5.70\n",
      "It: 29200, KL_loss: 1.67e-03, Recon_loss: 4.53e-04, PDE_loss: 8.30e-05, T_loss: 1.39e+00, Time: 5.78\n",
      "It: 29300, KL_loss: -1.93e-03, Recon_loss: 9.10e-06, PDE_loss: 6.46e-05, T_loss: 1.39e+00, Time: 5.61\n",
      "It: 29400, KL_loss: -5.40e-04, Recon_loss: 1.94e-05, PDE_loss: 4.86e-05, T_loss: 1.39e+00, Time: 5.55\n",
      "It: 29500, KL_loss: -1.66e-03, Recon_loss: 1.73e-04, PDE_loss: 6.15e-05, T_loss: 1.39e+00, Time: 5.70\n",
      "It: 29600, KL_loss: 5.79e-04, Recon_loss: 3.63e-05, PDE_loss: 6.72e-05, T_loss: 1.39e+00, Time: 5.48\n",
      "It: 29700, KL_loss: -4.16e-03, Recon_loss: 6.28e-03, PDE_loss: 3.70e-04, T_loss: 1.39e+00, Time: 5.68\n",
      "It: 29800, KL_loss: -1.59e-03, Recon_loss: 8.31e-04, PDE_loss: 1.19e-04, T_loss: 1.39e+00, Time: 6.00\n",
      "It: 29900, KL_loss: 5.36e-03, Recon_loss: 3.74e-05, PDE_loss: 6.39e-05, T_loss: 1.39e+00, Time: 5.75\n"
     ]
    }
   ],
   "source": [
    "# Train the model\n",
    "model.train(nIter = 30000, N_u = 2*N_u, N_f = N_f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Prediction\n",
    "\n",
    "# Make prediciton at randomly chosen points X_ff (black lines are generated samples, red stars are predicted mean)\n",
    "plt.figure(1)\n",
    "N_samples = 2000\n",
    "samples_mean = np.zeros((X_ref.shape[0], N_samples))\n",
    "for i in range(0, N_samples):\n",
    "    samples_mean[:,i:i+1] = model.generate_sample(X_ref)\n",
    "\n",
    "# Compute the mean and the variance of the prediction at randomly selected points in the domain\n",
    "mu_pred = np.mean(samples_mean, axis = 1)    \n",
    "Sigma_pred = np.var(samples_mean, axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/matplotlib/font_manager.py:1241: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans.\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/anaconda3/lib/python3.6/site-packages/matplotlib/font_manager.py:1241: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans.\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/anaconda3/lib/python3.6/site-packages/matplotlib/font_manager.py:1241: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans.\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the prediction with the uncertainty versus the reference solution\n",
    "\n",
    "ax = plt.figure(2,figsize=(7,5))\n",
    "plt.xticks(fontsize=16)\n",
    "plt.yticks(fontsize=16)\n",
    "plt.plot(X_u, Y_u, 'kx', markersize = 4, label = \"Boundary points\")\n",
    "lower = mu_pred - 2.0*np.sqrt(Sigma_pred)\n",
    "upper = mu_pred + 2.0*np.sqrt(Sigma_pred)\n",
    "plt.fill_between(X_ref.flatten(), lower.flatten(), upper.flatten(), \n",
    "                 facecolor='orange', alpha=0.5, label=\"Two std band\")\n",
    "plt.plot(X_ref,Y_ref,'b-', label = \"Exact\", linewidth=2)\n",
    "plt.plot(X_ref, mu_pred, 'r--', label = \"Prediction\", linewidth=2)\n",
    "plt.xlabel('$x$',fontsize=20)\n",
    "plt.ylabel('$u(x)$',fontsize=20)\n",
    "plt.legend(loc='upper left', frameon=False, prop={'size': 13})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error u: 2.226420e-02\n"
     ]
    }
   ],
   "source": [
    "# Compute the prediction relative error \n",
    "\n",
    "mu_pred = mu_pred[:,None]\n",
    "error_u = np.linalg.norm(Y_ref-mu_pred,2)/np.linalg.norm(Y_ref,2)\n",
    "print('Error u: %e' % (error_u))  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x338.4 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x338.4 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "######### Compare the uncertainty at x = -0.5 and x = 0.5 ########\n",
    "\n",
    "# E1 and E3 represent the samples of reference solution at x = -0.5 and x = 0.5\n",
    "E1 = Exact[50,:][:, None]\n",
    "E3 = Exact[150,:][:, None]\n",
    "\n",
    "# M1 and M3 represent the samples of our generative model at x = -0.5 and x = 0.5\n",
    "M1 = samples_mean[50,:][:, None]\n",
    "M3 = samples_mean[150,:][:, None]\n",
    "\n",
    "\n",
    "######## Probability density kernel estimation ########\n",
    "\n",
    "# Kernel density estimation of reference solution at x = -0.5\n",
    "xmin, xmax = E1.min(), E1.max()\n",
    "X_marginal_1 = np.linspace(xmin, xmax, 100)[:,None]\n",
    "positions_marginal_1 = X_marginal_1.flatten()\n",
    "values_marginal_1 = E1.flatten()\n",
    "gkde = stats.gaussian_kde(values_marginal_1)\n",
    "KDE_marginal_1 = gkde.evaluate(positions_marginal_1)\n",
    "\n",
    "# Kernel density estimation of reference solution at x = 0.5\n",
    "xmin, xmax = E3.min(), E3.max()\n",
    "X_marginal_3 = np.linspace(xmin, xmax, 100)[:,None]\n",
    "positions_marginal_3 = X_marginal_3.flatten()\n",
    "values_marginal_3 = E3.flatten()\n",
    "gkde = stats.gaussian_kde(values_marginal_3)\n",
    "KDE_marginal_3 = gkde.evaluate(positions_marginal_3)\n",
    "\n",
    "# Kernel density estimation of generative model solution at x = -0.5\n",
    "xmin, xmax = M1.min(), M1.max()\n",
    "X_marginal_4 = np.linspace(xmin, xmax, 100)[:,None]\n",
    "positions_marginal_4 = X_marginal_4.flatten()\n",
    "values_marginal_4 = M1.flatten()\n",
    "gkde = stats.gaussian_kde(values_marginal_4)\n",
    "KDE_marginal_4 = gkde.evaluate(positions_marginal_4)\n",
    "\n",
    "# Kernel density estimation of generative model solution at x = 0.5\n",
    "xmin, xmax = M3.min(), M3.max()\n",
    "X_marginal_6 = np.linspace(xmin, xmax, 100)[:,None]\n",
    "positions_marginal_6 = X_marginal_6.flatten()\n",
    "values_marginal_6 = M3.flatten()\n",
    "gkde = stats.gaussian_kde(values_marginal_6)\n",
    "KDE_marginal_6 = gkde.evaluate(positions_marginal_6)\n",
    "\n",
    "\n",
    "# Comparion of the probability density of the reference solution and our model solution at x = -0.5\n",
    "ax = plt.figure(3,figsize=(6,4.7))\n",
    "plt.xticks(fontsize=13)\n",
    "plt.yticks(fontsize=13)\n",
    "plt.hist(Exact[50,:], bins = 50, density=True, alpha = 0.6, color='blue')\n",
    "plt.hist(samples_mean[50,:], bins = 50, density=True, alpha = 0.6, color='red')\n",
    "plt.plot(X_marginal_1, KDE_marginal_1, 'b-', label = 'Exact')\n",
    "plt.plot(X_marginal_4, KDE_marginal_4, 'r-', label = 'Prediction')\n",
    "plt.xlabel('$u(x = - 0.5)$',fontsize=13)\n",
    "plt.ylabel('$p(u)$',fontsize=13)\n",
    "plt.legend(loc='upper left', frameon=False, prop={'size': 13})\n",
    "plt.show()\n",
    "\n",
    "# Comparion of the probability density of the reference solution and our model solution at x = 0.5\n",
    "ax = plt.figure(5,figsize=(6,4.7))\n",
    "plt.xticks(fontsize=13)\n",
    "plt.yticks(fontsize=13)\n",
    "plt.hist(Exact[150,:], bins = 50, density=True, alpha = 0.6, color='blue')\n",
    "plt.hist(samples_mean[150,:], bins = 50, density=True, alpha = 0.6, color='red')\n",
    "plt.plot(X_marginal_3, KDE_marginal_3, 'b-', label = 'Exact')\n",
    "plt.plot(X_marginal_6, KDE_marginal_6, 'r-', label = 'Prediction')\n",
    "plt.xlabel('$u(x = 0.5)$',fontsize=13)\n",
    "plt.ylabel('$p(u)$',fontsize=13)\n",
    "plt.legend(loc='upper left', frameon=False, prop={'size': 13})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
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 },
 "nbformat": 4,
 "nbformat_minor": 2
}
